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ConcertAI · 1 day ago

Forward Deployment Lead

Greater Philadelphia

Full-time

Hybrid

Senior Level

5+ years exp

ConcertAI is at the forefront of revolutionizing healthcare with cutting-edge AI and data solutions. The Forward Deployment Lead (FDPL) serves as the critical bridge between clinical trial technology and the operational needs of large pharmaceutical sponsors, ensuring successful deployment and value realization of AI-driven features.

AnalyticsArtificial Intelligence (AI)BiotechnologyOncologyPharmaceuticalSaaS

H1B Sponsor Likely

Responsibilities

Act as the primary product lead for strategic pharma accounts, ensuring successful deployment, adoption, and value realization of both core platform capabilities and AI-driven features

Conduct deep discovery with clinical operations, biometrics, medical, regulatory, and data management stakeholders to identify high-value use cases for automation, prediction, and generative AI support

Lead cross-functional squads (engineering, data science, solutions, customer success) through implementation cycles that include workflow design, model integration, and iterative refinement

Serve as the customer’s strategic partner during trial- and program-level deployments; anticipate change management needs associated with AI feature introduction and ensure responsible, compliant use of advanced technologies

Translate clinical workflows and customer pain points into requirements for AI-enabled capabilities (e.g., protocol summarization, automated monitoring insights, predictive enrollment modeling, anomaly detection, document intelligence)

Collaborate with Product Management and Data Science teams to evaluate feasibility, design user interactions, and prioritize model improvements based on real-world usage

Partner with customers to validate model outputs, collect feedback, and assess performance in regulated settings, ensuring transparency and alignment with GxP expectations

Champion opportunities where LLMs, machine learning, and data engineering can streamline processes such as study startup, query management, risk-based monitoring, medical review, or vendor oversight

Lead requirements for structured and unstructured data flows between the platform and clinical systems (EDC, CTMS, eCOA, imaging, safety, medical writing tools, and document repositories)

Work closely with data engineering and ML teams to define training data needs, metadata standards, and validation criteria for AI-enabled features

Help customers understand and operationalize insights derived from predictive models, natural language processing workflows, or large-scale data analytics

Guide customers through adoption of AI-driven capabilities, including communication plans, training materials, workflow redesign, and impact assessments

Develop customer-facing resources—workflow maps, configuration guides, validation documentation, and best-practice playbooks for AI feature usage

Drive stakeholder alignment across study leadership, IT, data science groups, and CRO partners to ensure consistent understanding and responsible implementation

Qualification

Clinical trial softwareAI/ML expertiseData integrationLife sciences technologyPredictive modelingChange managementCustomer enablementWorkflow optimizationTechnical consultingCommunication

Required

Minimum Bachelor's degree; Advanced degree preferred

5–10+ years of experience in clinical trial software, life sciences technology, AI-enabled SaaS, or data/analytics-driven product delivery

Strong understanding of clinical development workflows (study startup, data management, monitoring, medical review, trial operations)

Demonstrated success leading complex enterprise software deployments with large pharma or CROs

Experience working with AI/ML products, LLMs, data science teams, or analytics-driven workflow tools

Ability to translate ambiguous user needs into crisp product requirements and model-supported workflows

Strong communication skills and comfort engaging senior R&D, digital, and data/AI stakeholders

Travel to customer sites is required and expected to be 75%

Ideally located in the NY / NJ / CT

Preferred

Familiarity with NLP/LLM applications in regulated environments (document automation, knowledge retrieval, summarization, labeling)

Experience in machine learning-driven risk assessment, operational analytics, or predictive modeling for clinical trials

Understanding of GxP, validation requirements, model monitoring, and change control for AI-enabled systems

Background in product management, technical consulting, or data science applied to life sciences

Benefits

Competitive benefits

Company

ConcertAI

ConcertAI is an AI-powered SaaS data company that develops medical research tools in oncology.

Founded in 2018

Cambridge, Massachusetts, USA

1001-5000 employees

https://www.concertai.com

H1B Sponsorship

ConcertAI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2020 (6)